code: def train_model_from_file(
      parameter_filename,
      serialization_dir,
      overrides="",
      file_friendly_logging=False,
      recover=False,
  ):
      """
      A wrapper around :func:`train_model` which loads the params from a file.
  
      Parameters
      ----------
      param_path : ``str``
          A json parameter file specifying an AllenNLP experiment.
      serialization_dir : ``str``
          The directory in which to save results and logs. We just pass this along to
          :func:`train_model`.
      overrides : ``str``
          A JSON string that we will use to override values in the input parameter file.
      file_friendly_logging : ``bool``, optional (default=False)
          If ``True``, we make our output more friendly to saved model files.  We just pass this
          along to :func:`train_model`.
      recover : ``bool`, optional (default=False)
          If ``True``, we will try to recover a training run from an existing serialization
          directory.  This is only intended for use when something actually crashed during the middle
          of a run.  For continuing training a model on new data, see the ``fine-tune`` command.
      """
      # Load the experiment config from a file and pass it to ``train_model``.
      params = Params.from_file(parameter_filename, overrides)
      return train_model(
          params, serialization_dir, file_friendly_logging, recover
      )
  
imports: from __future__ import with_statement
  from __future__ import absolute_import
  import argparse
  import json
  import logging
  import os
  import re
  import torch
  from allennlp.commands.evaluate import evaluate
  from allennlp.commands.subcommand import Subcommand
  from allennlp.common.checks import ConfigurationError, check_for_gpu
  from allennlp.common import Params
  from allennlp.common.util import prepare_environment, prepare_global_logging, get_frozen_and_tunable_parameter_names
  from allennlp.data import Vocabulary
  from allennlp.data.instance import Instance
  from allennlp.data.dataset_readers.dataset_reader import DatasetReader
  from allennlp.data.iterators.data_iterator import DataIterator
  from allennlp.models.archival import archive_model, CONFIG_NAME
  from allennlp.models.model import Model, _DEFAULT_WEIGHTS
  from allennlp.training.trainer import Trainer
  from io import open
label_desc: Use image node_id 2 for calling a global function with example usage: train_model_from_file(parameter_filename, serialization_dir, overrides, file_friendly_logging, recover) and returns: train_model